Subject Code:  MA5L017 Subject Name:  Advanced Matrix Theory L-T-P: 3-0-0 Credit:3
Pre-requisite(s): Linear Algebra (MA5L001)
Eigenvalues, eigenvectors and similarity, Unitary equivalence and normal matrices, Schur’s theorem, Spectral theorems for normal and Hermitian matrices; Jordan canonical form, Application of Jordan canonical form, Minimal polynomial, Companion matrices, Functions of matrices; Variational characterizations of eigenvalues of Hermitian matrices, Rayleigh-Ritz theorem, Courant-Fischer theorem, Weyl theorem, Cauchy interlacing theorem, Inertia and congruence, Sylvester's law of inertia; Matrix norms, Location and perturbation of eigenvalues Gerschgorin disk theorem; Positive semidefiniteness, Singular value decomposition, Polar decomposition, Schur and Kronecker products; Positive and nonnegative matrices, Irreducible nonnegative matrices.
Text Books:
  1. Horn  R. A. and Johnson C. R. Matrix Analysis, CUP
Reference Books:
  1. Lancaster  P. and Tismenetsky M. The Theory of Matrices, Academic Press
  2. GantmacherF. R. The Theory of Matrices, Vol-I,  Chelsea